A General Model of Vehicle Routing Guidance Systems based on Distributive Learning Scheme

Ke Wan, Zuo Zhang and Zhiquan Chen are with the Department of Automation, Tsinghua University, Beijing 100084, P.R.China. ABSTRACT Dynamic traffic assignment and vehicle route guidance have been important problems in ITS for some time. This paper proposes a new model for VRGS, which takes into consideration of the information propagation, user selection and information reaction. Parameter p is then defined as the updating weight for computing cost of traffic based on a distributive learning scheme. Comparison to static traffic assignment, DTA and feasible strategies are given, and future work is also stated.